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Agentic AI risk reference

AI Risk Atlas

A governance command center for 77 canonical agentic risks and 157 controls — mapped by severity, likelihood, control depth, and eight risk frameworks including the IBM AI Risk Atlas.

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Canonical risks
11 governance domains
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Critical-rated
45 high severity
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Agentic-specific
new or amplified by agents
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Mapped controls
avg 4.9 per risk

Inherent risk matrix

Severity × likelihood. Select a cell to drill into those risks.

CriticalHighMediumLow

Domain coverage map

Risk load and average control depth per governance domain.

Capability‑pattern applicability

The 77 risks span agentic deployment patterns and foundational (inherited) risks — every risk and control is tagged by pattern so you can scope to your architecture.

Framework cross-reference coverage

How many of the 77 risks carry a mapping to each major taxonomy.

EU AI Act77/77 · 100%
DORA40/77 · 52%
MIT AI Risk Repository77/77 · 100%
IBM AI Risk Atlas77/77 · 100%
NIST ARIA77/77 · 100%
OWASP77/77 · 100%
MITRE ATLAS75/77 · 97%
MAESTRO77/77 · 100%
Cisco AI Risk72/77 · 94%
Palo Alto AI Risk56/77 · 73%
Risk explorer

Filter 77 risks by domain, severity, and likelihood.

Open
Control catalogue

157 controls with owners, thresholds, and cadence.

Open
Reference

Glossary, framework sources, and overlap register.

Open

Compiled from leading AI risk frameworks — including the IBM AI Risk Atlas, MIT AI Risk Repository, NIST AI 600-1, ISO 42001, OWASP LLM/Agentic, MITRE ATLAS, Cisco AI Defense, and Palo Alto Prisma AIRS. Inherent-risk scores are severity × likelihood; control depth reflects mapped agentic and non-agentic controls. Expert‑elicited for governance reference only.